| DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation | Dec 19, 2024 | 3D GenerationDenoising | —Unverified | 0 |
| DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields | Dec 18, 2024 | 3D GenerationDecoder | —Unverified | 0 |
| GraphicsDreamer: Image to 3D Generation with Physical Consistency | Dec 18, 2024 | 3D GenerationImage to 3D | —Unverified | 0 |
| Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation | Dec 15, 2024 | 3D GenerationBenchmarking | —Unverified | 0 |
| GT23D-Bench: A Comprehensive General Text-to-3D Generation Benchmark | Dec 13, 2024 | 3D GenerationText to 3D | —Unverified | 0 |
| DSplats: 3D Generation by Denoising Splats-Based Multiview Diffusion Models | Dec 11, 2024 | 3D Generation3D Reconstruction | —Unverified | 0 |
| Diverse Score Distillation | Dec 9, 2024 | 3D GenerationDenoising | —Unverified | 0 |
| Gen-3Diffusion: Realistic Image-to-3D Generation via 2D & 3D Diffusion Synergy | Dec 9, 2024 | 3D GenerationImage to 3D | —Unverified | 0 |
| Enhanced 3D Generation by 2D Editing | Dec 8, 2024 | 3D GenerationDenoising | —Unverified | 0 |
| Text-to-3D Gaussian Splatting with Physics-Grounded Motion Generation | Dec 7, 2024 | 3D GenerationLanguage Modeling | —Unverified | 0 |
